Weize Chen
Artificial Intelligence · 2019–2025
A researcher in the Science corpus: 8 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 290 citations into it
- Computer Vision and Pattern Recognition — 96 citations into it
- Natural Language Processing — 92 citations into it
- Evaluation & Benchmarks — 41 citations into it
- Information Systems — 35 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Computer Networks and Communications — 9 citations into it
- Optimization & Training — 6 citations into it
Whom Weize Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter D. Turney
- Geoffrey E. Hinton
- Diederik P. Kingma
- Tomas Mikolov
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Jimmy Ba
- Yann LeCun
- Kaiming He
Who trusts Weize Chen overall
Papers from Weize Chen's perspective
Ordered by how strongly the researchers Weize Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate (2023) — 961 citations
- Communicative Agents for Software Development (2023) — 393 citations
- Process Reinforcement through Implicit Rewards (2025) — 386 citations
- Tool Learning with Foundation Models (2023) — 420 citations
- Parameter-efficient fine-tuning of large-scale pre-trained language models (2023) — 1,192 citations
- ChatDev: Communicative Agents for Software Development (2023) — 988 citations
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents (2023) — 698 citations
- Quantifying Similarity between Relations with Fact Distribution (2019) — 9 citations